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Creators/Authors contains: "Schoemans, Maxime"

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  1. ; ; ; (, ACM SIGSPATIAL 2024)
    Accepted Manuscript Full Text Available
  2. ; ; ; ; ; ; ; ; ; ; et al (, ACM Transactions on Spatial Algorithms and Systems)
    Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of Global Positioning System (GPS)–equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent years, the use of mobility data has demonstrated a significant impact in various domains, including traffic management, urban planning, and health sciences. In this article, we present the domain of mobility data science. Towards a unified approach to mobility data science, we present a pipeline having the following components: mobility data collection, cleaning, analysis, management, and privacy. For each of these components, we explain how mobility data science differs from general data science, we survey the current state-of-the-art, and describe open challenges for the research community in the coming years. 
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    Full Text Available 
  3. ; ; ; ; ; ; ; (, CIDR 2020, 10th Conference on Innovative Data Systems Research, Amsterdam, The Netherlands, January 12-15, 2020, Online Proceedings)
    Accepted Manuscript Full Text Available